Learn R Programming

ECctmc (version 0.2.5)

Simulation from Endpoint-Conditioned Continuous Time Markov Chains

Description

Draw sample paths for endpoint-conditioned continuous time Markov chains via modified rejection sampling or uniformization.

Copy Link

Version

Install

install.packages('ECctmc')

Monthly Downloads

44

Version

0.2.5

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Jon Fintzi

Last Published

May 1st, 2018

Functions in ECctmc (0.2.5)

sample_path

Sample path from the distribution of an endpoint-conditioned CTMC.
sample_path_unif2

Simulate a sample path from an endpoint conditioned CTMC by uniformization using pre-computed eigen-values (assumes that all eigenvalues are real).
sample_path_mr

Simulate a sample path from an endpoint conditioned CTMC by modified rejection sampling.
comp_expmat

Compute the matrix exponential.
sample_path_unif3

Simulate a sample path from an endpoint conditioned CTMC by uniformization using a pre-computed transition probability matrix.
sample_path_unif

Simulate a sample path from an endpoint conditioned CTMC by uniformization.